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IEEE Transactions on Reliability
Article . 1985 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Uncertainty Analysis of Fault-Tree Outputs

Uncertainty analysis of fault-tree outputs
Authors: Ali Muhammad Ali Rushdi;

Uncertainty Analysis of Fault-Tree Outputs

Abstract

Summary: The multiaffine nature of the top-event probability as a function of component unavailability is recognized. This leads, under the assumption of statistically independent failures, to the derivation of an exact formula relating the variance of the system unavailability to the variances of the component unavailability. Concise expressions for other central moments of the system unavailability are obtained. The variance formula partitions contributions due to the input variables and their interactions, and can be used to rank these variables by an importance that is related to well known measures of statistical importance. The variance formula is extended to handle linearly correlated input variables through the inclusion of certain joint central moment terms.

Keywords

multiaffine, function, Reliability and life testing, fault tree, exact formula, top-event probability, partitioning of variance, uncertainty analysis

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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Average
Top 10%
Top 10%
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